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Generative AI in Writing Education: Policy and Pedagogical Implications (Routledge Research in Writing Studies)
by Dylan MedinaThis book provides a theoretical framework to allow educators, researchers, and policymakers to better understand computer‑generated writing and the policy and pedagogical implications of generative AI.Generative AI, such as ChatGPT and Gemini, has substantially disrupted educational spaces, forcing educators, policymakers, and other stakeholders to reconsider writing and how it should be used in education. Responding to this disruption, this book provides technically sound guidance on how various stakeholders should engage with generative AI. After providing a foundational and technical discussion of the technology, this book directly addresses the educational context. Informed by theories of learning and knowledge transfer and utilizing rhetorical theories of writing, this book assesses the impact of AI on student learning, student performance, and academic honesty and integrity. In doing so, the book outlines how generative AI can be both a help and a hindrance for students, enabling readers to craft informed and meaningful policies and successfully integrate AI in the composition classroom.This book will be of interest to scholars in the fields of Rhetoric and Composition, Technical Writing, Communication Studies, Linguistics, and TESOL, as well as to Education and Machine Learning policymakers, program directors, and researchers.
Generative AI: Current Trends and Applications (Studies in Computational Intelligence #1177)
by Deepak Singh Khalid Raza Naeem AhmadThis comprehensive volume focuses on the latest advancements in Generative AI, including state-of-the-art techniques and models that are pushing the boundaries of what is possible. It covers recent developments in areas such as Generative AI models, transfer learning and Natural Language Processing (NLP) highlighting their potential to revolutionize content generation and creative applications including OpenAI, LangChain, NLTK and their practical implementations across diverse domains. The volume provides insights into emerging research areas, novel architectures, and innovative approaches in Generative AI, giving searchers a glimpse into the exciting future of the field. The aim is to offer readers a deep understanding of Generative AI and how it can be harnessed to tackle complex real-world challenges.
Generative AI: Techniques, Models and Applications (Lecture Notes on Data Engineering and Communications Technologies #241)
by Rajan Gupta Poonam Chaudhary Sanju TiwariThis book unlocks the full potential of modern AI systems through a meticulously structured exploration of concepts, techniques, and practical applications. This comprehensive book bridges theoretical foundations with real-world implementations, offering readers a unique perspective on the rapidly evolving field of generative technologies. From computational foundations to ethical considerations, the book systematically covers essential topics including foundation models, large-scale architectures, prompt engineering, and practical applications. The content seamlessly integrates complex technical concepts with industry-relevant examples, making it an invaluable resource for researchers, academicians, and practitioners. Distinguished by its balanced approach to theory and practice, this book serves as both a learning tool and reference guide. Readers will benefit from: Clear explanations of advanced concepts. Practical implementation insights. Current industry applications. Ethical framework discussions. Whether you're conducting research, implementing solutions, or exploring the field, this book provides the knowledge necessary to understand and apply generative AI technologies effectively while considering crucial aspects of security, privacy, and fairness.
Generative Adversarial Learning: Architectures and Applications (Intelligent Systems Reference Library #217)
by Vasile Palade Roozbeh Razavi-Far Ariel Ruiz-Garcia Juergen SchmidhuberThis book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs’ theoretical developments and their applications.
Generative Artificial Intelligence (Information Systems Engineering and Management #24)
by Sanjiban Sekhar Roy Narasimha Rao Vajjhala Burak Taşcı Muhammad Enamul Hoque Chowdhury"Generative Artificial Intelligence (AI) Approaches for Industrial Applications" explores the transformative potential of Generative AI technologies across various industries. With contributions from international scholars and experts, this book provides a comprehensive overview of the latest trends, mathematical foundations, and practical applications of Generative AI models. Key sections examine the fundamental concepts of Generative AI, including Generative Adversarial Networks (GANs) and their ethical and security considerations. Special attention is given to the revolutionary impact of Generative AI in healthcare technologies, clinical decision-making, and predictive maintenance within the manufacturing sector. Additionally, the role of Generative AI in FinTech, particularly in redefining business models and enhancing digital security, is thoroughly examined. This book features cutting-edge research on text summarization, age progression using GANs, and integrating AI with regulatory practices. This book is a vital resource for academics, professionals, and practitioners bridging the gap between theoretical AI frameworks and their real-world industrial applications, offering insights into how Generative AI is shaping the future of industries worldwide.
Generative Artificial Intelligence Empowered Learning: A New Frontier in Educational Technology
by Mahmoud Elkhodr Ergun GideThis book explores the integration of Generative Artificial Intelligence (GenAI), such as ChatGPT, into educational practices and research methodologies. With the potential to transform traditional learning environments, this book addresses both the opportunities and challenges that come with leveraging GenAI for enhancing teaching and learning experiences.This comprehensive guide delves into multiple aspects of GenAI in education. It covers critical topics such as project-based learning (PBL), personalized learning through AI, AI-driven student assessment, and the role of AI in special education. Furthermore, it examines ethical considerations, the readiness of students and teachers for AI technologies, and case studies on AI’s impact on student outcomes. With insights from educators, researchers, and practitioners from around the globe, the book provides a balanced perspective on both theoretical frameworks and practical implementation of GenAI technologies.Ideal for educators, researchers, and policymakers, this book serves as a practical resource for those looking to effectively integrate AI into their pedagogical and research efforts. It is an essential reference for anyone interested in staying at the forefront of educational innovation and exploring the future possibilities of AI-empowered learning.
Generative Artificial Intelligence and Fifth Industrial Revolution (Lecture Notes in Networks and Systems #880)
by Domenico Marino Melchiorre Alberto MonacaIn this digital era, artificial intelligence (AI) is emerging as a catalyst for transformation across numerous fields, ranging from, economics, environment, finance to healthcare, AI's integration into daily operations and strategic planning presents a pivotal shift towards data-driven decision-making and automation. Each chapter in this volume addresses a unique aspect of AI, from theoretical frameworks and technological advancements to practical applications and ethical considerations. This volume not only highlights the advancements and applications of AI but also addresses the critical challenges of bias, privacy, and ethical implications associated with AI deployment. Through a multidisciplinary approach, it aims to provide readers with a nuanced understanding of AI's role in modern society and its potential to address some of the most pressing challenges of our times. As we stand on the brink of technological revolutions, this volume serves as a guide and a critical examination of the potential pathways AI might forge in the future. It is an essential read for academics, industry professionals, policymakers, and anyone interested in the profound changes AI is poised to bring. This is a multi-author book, but not a collection of essays. In fact, although signed by different authors, all the chapters of the book follow a line of development which is traced in the first part of the book and deepen the various aspects in logical order. The various parts of the book will explore the most important features of AI and analyse the implications of AI in Economics, Law, Policies, Smart Citizens and Territorial Aspects.
Generative Intelligence and Intelligent Tutoring Systems: 20th International Conference, ITS 2024, Thessaloniki, Greece, June 10–13, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14798)
by Angelo Sifaleras Fuhua LinThis book constitutes the refereed proceedings of the 20th International Conference on Generative Intelligence and Intelligent Tutoring Systems, ITS 2024, held in Thessaloniki, Greece, during June 10–13, 2024. The 35 full papers and 28 short papers included in this book were carefully reviewed and selected from 88 submissions. This book also contains 2 invited talks. They were organized in topical sections as follows: Generative Intelligence and Tutoring Systems; Generative Intelligence and Healthcare Informatics; Human Interaction, Games and Virtual Reality; Neural Networks and Data Mining; Generative Intelligence and Metaverse; Security, Privacy and Ethics in Generative Intelligence; and Generative Intelligence for Applied Natural Language Processing.
Generative Intelligence and Intelligent Tutoring Systems: 20th International Conference, ITS 2024, Thessaloniki, Greece, June 10–13, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14799)
by Angelo Sifaleras Fuhua LinThis book constitutes the refereed proceedings of the 20th International Conference on Generative Intelligence and Intelligent Tutoring Systems, ITS 2024, held in Thessaloniki, Greece, during June 10–13, 2024. The 35 full papers and 28 short papers included in this book were carefully reviewed and selected from 88 submissions. This book also contains 2 invited talks. They were organized in topical sections as follows: Generative Intelligence and Tutoring Systems; Generative Intelligence and Healthcare Informatics; Human Interaction, Games and Virtual Reality; Neural Networks and Data Mining; Generative Intelligence and Metaverse; Security, Privacy and Ethics in Generative Intelligence; and Generative Intelligence for Applied Natural Language Processing.
Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity (Artificial Intelligence for Sustainable Engineering and Management)
by Umesh Gupta Moolchand Sharma Sakshi Gupta Kamal MalikThis book explores the intersection of artificial intelligence and healthcare with a focus on generative intelligence. The book will introduce the concept of generative intelligence and its transformative potential in patient care, showcasing applications that go beyond conventional AI approaches.Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity delves into the use of generative models for personalized medicine, data analytics, and predictive modelling, providing real-world examples of how AI creativity can revolutionize treatment strategies and diagnostic processes. It focuses on the origin and basics of generative AI, generative AI models, and possible areas in healthcare where generative AI can work. It discusses how generative AI model will help healthcare providers automatically generate prescriptions, discharge summaries, and patient conditions. The unique strength of this book lies in its comprehensive examination of ethical considerations and regulatory frameworks, ensuring a responsible and transparent integration of generative intelligence in healthcare. By addressing current challenges and envisioning future directions, this book serves as a valuable resource for healthcare professionals, researchers, and policymakers seeking to harness the full potential of AI creativity to enhance patient outcomes.The book is written for graduate students, researchers, and professionals in biomedical engineering, electrical engineering, signal process engineering, biomedical imaging, and computer science.
Generative Manufacturing of Optical, Thermal and Structural Components (GROTESK)
by Roland Lachmayer Dietmar Kracht Volker Wesling Henning AhlersThe book describes and explains the results of the collaborative project Generative Manufacturing of Optical, Thermal and Structural Components over the last three years. The overall goal is the development of a system concept based on generative manufacturing for integrated optical and optomechanical systems. Different developed generative manufacturing processes for glass and specially designed metal powders have been implemented in a single fabrication set up enabling multi-material manufacturing of optical components and systems. The main focus of the project is split into several topics: simulation, design, material engineering, process engineering, post-processing and component evaluation. The simulation of the glass printing process will be structured iteratively with a comparison of the experimental results in order to be able to finally make a prediction of the necessary parameter sizes for defined components. A metal material with similar thermal conductivity and thermal expansion properties to glass or laser-active crystals has been developed iteratively over the course of the project to enable direct printing onto these materials. In order to demonstrate the potential of generatively manufactured optomechanics for function-integrated systems, the optomechanical components required for a solid-state laser system are manufactured in a polymer-based 3D printing process and their properties are characterized. All these individual projects of the overall network are combined in the system concept.
Generic Inference
by Marc Pouly Juerg KohlasThis book provides a rigorous algebraic study of the most popular inference formalisms with a special focus on their wide application area, showing that all these tasks can be performed by a single generic inference algorithm. Written by the leading international authority on the topic, it includes an algebraic perspective (study of the valuation algebra framework), an algorithmic perspective (study of the generic inference schemes) and a "practical" perspective (formalisms and applications). Researchers in a number of fields including artificial intelligence, operational research, databases and other areas of computer science; graduate students; and professional programmers of inference methods will benefit from this work.
Generic Intelligent Driver Support
by John A. MichonThis book summarizes the activities of the Generic Intelligent Driver Support (GIDS) Consortium and offers recommendations for successful GIDS implementation. It is based on the GIDS Project, a part of the EC-funded Dedicated Road Infrastructure for Vehicle Safety in Europe Programme.
Generic Systems Engineering
by Petra WinzerIn dem Band wird ein Denkmodell mit Umsetzungskonzept vorgestellt, das den Umgang mit Komplexit#65533;t in der Produktentwicklung und der Produktion erleichtert. Abgeleitet von einfachen Regeln, beruht der Ansatz auf dem Konzept des Systems Engineering. Unterschiedliche, zum Systems Engineering entwickelte Vorgehenskonzepte werden darin zusammengef#65533;hrt, um gegenw#65533;rtige und zuk#65533;nftige Dimensionen der Komplexit#65533;t zu bew#65533;ltigen. Die schnell erfass- und erlernbaren L#65533;sungsans#65533;tze werden anhand ausgew#65533;hlter Beispiele der Produktentwicklung illustriert.
Generic Systems Engineering: A Methodical Approach to Complexity Management
by Nadine SchlüterIn dem Band wird ein Denkmodell mit Umsetzungskonzept vorgestellt, das den Umgang mit Komplexität in der Produktentwicklung und der Produktion erleichtert. Abgeleitet von einfachen Regeln, beruht der Ansatz auf dem Konzept des Systems Engineering. Unterschiedliche, zum Systems Engineering entwickelte Vorgehenskonzepte werden darin zusammengeführt, um gegenwärtige und zukünftige Dimensionen der Komplexität zu bewältigen. Die schnell erfass- und erlernbaren Lösungsansätze werden anhand ausgewählter Beispiele der Produktentwicklung illustriert.
Generic Systems Engineering: Ein methodischer Ansatz zur Komplexitätsbewältigung
by Nadine SchlüterIn dem Band wird ein Denkmodell mit Umsetzungskonzept vorgestellt, das den Umgang mit Komplexität in der Produktentwicklung und der Produktion erleichtert. Abgeleitet von einfachen Regeln, beruht der Ansatz auf dem Konzept des Systems Engineering. Unterschiedliche, zum Systems Engineering entwickelte Vorgehenskonzepte werden darin zusammengeführt, um gegenwärtige und zukünftige Dimensionen der Komplexität zu bewältigen. Die schnell erfass- und erlernbaren Lösungsansätze werden anhand ausgewählter Beispiele der Produktentwicklung illustriert.
Generic Systems Engineering: Ein methodischer Ansatz zur Komplexitätsbewältigung
by Petra WinzerIn dem Band wird ein Denkmodell mit Umsetzungskonzept vorgestellt, das den Umgang mit Komplexität in der Produktentwicklung und der Produktion erleichtert. Abgeleitet von einfachen Regeln, beruht der Ansatz auf dem Konzept des Systems Engineering. Unterschiedliche, zum Systems Engineering entwickelte Vorgehenskonzepte werden darin zusammengeführt, um gegenwärtige und zukünftige Dimensionen der Komplexität zu bewältigen. Die schnell erfass- und erlernbaren Lösungsansätze werden anhand ausgewählter Beispiele der Produktentwicklung illustriert.
Generic Systems Engineering: Ein methodischer Ansatz zur Komplexitätsbewältigung
by Petra WinzerIn dem Band wird ein Denkmodell mit Umsetzungskonzept vorgestellt, das den Umgang mit Komplexität in der Produktentwicklung und der Produktion erleichtert. Abgeleitet von einfachen Regeln, beruht der Ansatz auf dem Konzept des Systems Engineering. Unterschiedliche, zum Systems Engineering entwickelte Vorgehenskonzepte werden darin zusammengeführt, um gegenwärtige und zukünftige Dimensionen der Komplexität zu bewältigen. Die schnell erfass- und erlernbaren Lösungsansätze werden anhand ausgewählter Beispiele der Produktentwicklung illustriert.
Generic and Energy-Efficient Context-Aware Mobile Sensing
by Chi Harold Liu Ozgur YururElaborating on the concept of context awareness, this book presents up-to-date research and novel framework designs for context-aware mobile sensing. Generic and Energy-Efficient Context-Aware Mobile Sensing proposes novel context-inferring algorithms and generic framework designs that can help readers enhance existing tradeoffs in mobile sensing,
Genes, Technology, and Apocalypse: An Epilogue for Humanity
by Yochai AtariaThis book offers a critique of a certain contemporary discourse in popular science that consists of (1) identifying the origins and therefore essential nature of Homo Sapiens; and (2) identifying the nature of technology. The author’s critique is that this double gesture generates a deterministic worldview – man is evil and technology has its own necessity – that operates to exonerate humanity from responsibility to the horrors of the 20th century, epitomized in Auschwitz and Hiroshima, for example. The author situates this operation within what he identifies as an “apocalyptical-eschatological state of mind”. Yochai Ataria explains that the dynamics of technology and the quest for the first human are the two central vectors shaping both scientific and popular discourse today, highlighting the importance of understanding the deep connection between the two.
Genesis Machines: The New Science of Biocomputing
by Martyn AmosThe paperback version of the groundbreaking book about the next generation of computers: not only are they smaller—they're alive. Cells, gels, and DNA strands are the "wetware" of the twenty-first century. Imagine taking cells from a cancer patient and programming them to detect disease and then prompt the body to cure itself. Or clothes woven with microchips, nanofibers, and living cells to form wearable bio-weapons detection systems. Both of these revolutionary applications are closer than we think. Some scientists are pushing the boundaries even further by creating synthetic biology where brand new creatures are engineered in the laboratory. In this breathtaking book, a leading expert in the field reveals just how the stuff of science fiction is rapidly becoming a reality. This new technology will change the way we think—not just about computers, but about the nature of life itself.
Genesis: Artificial Intelligence, Hope, and the Human Spirit
by Henry A. Kissinger Eric Schmidt Craig MundieIn his final book, the late Henry Kissinger joins forces with two leading technologists to mount &“a profound exploration&” (Walter Isaacson) of the epochal challenges and opportunities presented by the revolution in Artificial Intelligence: a breakthrough that dramatically empowers people in all walks of life while also raising urgent questions about the future of humanity. As it absorbs data, gains agency, and intermediates between humans and reality, AI (Artificial Intelligence) will help us to address enormous crises, from climate change to geopolitical conflicts to income inequality. It might well solve some of the greatest mysteries of our universe and elevate the human spirit to unimaginable heights. But it will also pose challenges on a scale and of an intensity that we have never seen—usurping our power of independent judgment and action, testing our relationship with the divine, and perhaps even spurring a new phase in human evolution. The last book of elder statesman Henry Kissinger, written with technologists Craig Mundie and Eric Schmidt, Genesis charts a course between blind faith and unjustified fear as it outlines an effective strategy for navigating the age of AI.
Genetic Analyses of Wheat and Molecular Marker-Assisted Breeding, Volume 2: Conditional QTL Analysis and MAS
by Yong Zhao Peng Wu Jichun Tian Jiansheng Chen Guangfeng Chen Han ZhangWhile focusing on various interactions between trait genes/QTL and dynamic expressions of conditional QTL genes, this book also discusses aspects of molecular marker-assisted breeding, and applications of molecular markers associated with yield, quality, physiology and disease resistance in wheat. It covers QTL studies in wheat breeding and presents the available information on wheat MAS breeding. This volume provides a wealth of novel information, a wide range of applications and deep insights into crop genetics and molecular breeding, which is valuable not only for plant breeders but also for academic faculties, senior researchers and advanced graduate students who are involved in plant breeding and genetics. Dr. Jichun Tian is a professor at the Department of Agronomy, Shandong Agricultural University, Tai’an, China.
Genetic Databases: Socio-Ethical Issues in the Collection and Use of DNA
by Richard Tutton Oonagh CorriganGenetic Databases offers a timely analysis of the underlying tensions, contradictions and limitations of the current regulatory frameworks for, and policy debates about, genetic databases. Drawing on original empirical research and theoretical debates in the fields of sociology, anthropology and legal studies, the contributors to this book challenge the prevailing orthodoxy of informed consent and explore the relationship between personal privacy and the public good. They also consider the multiple meanings attached to human tissue and the role of public consultations and commercial involvement in the creation and use of genetic databases. The authors argue that policy and regulatory frameworks produce a representation of participation that is often at odds with the experiences and understandings of those taking part. The findings present a serious challenge for public policy to provide mechanisms to safeguard the welfare of individuals participating in genetic databases.
Genetic Design Automation: A Practical Approach for the Analysis, Verification and Synthesis of Genetic Logic Circuits
by Jan Madsen Hasan BaigThis textbook introduces readers to the recent advances in the emerging field of genetic design automation (GDA). Starting with an introduction and the basic concepts of molecular biology, the authors provide an overview of various genetic design automation tools. The authors then present the DVASim tool (Dynamic Virtual Analyzer and Simulator) which is used for the analysis and verification of genetic logic circuits. This includes methods and algorithms for the timing and threshold value analyses of genetic logic circuits. Next, the book presents the GeneTech tool (A technology mapping tool for genetic circuits) and the methods developed for optimization, synthesis, and technology mapping of genetic circuits. Chapters are followed by exercises which give readers hands-on practice with the tools presented. The concepts and algorithms are thoroughly described, enabling readers to improve the tools or use them as a starting point to develop new tools. Both DVASim and GeneTech are available from the developer’s website, free of charge. This book is intended for a multidisciplinary audience of computer scientists, engineers and biologists. It provides enough background knowledge for computer scientists and engineers, who usually do not have any background in biology but are interested to get involved in this domain. This book not only presents an accessible basic introduction to molecular biology, it also includes software tools which allow users to perform laboratory experiments in a virtual in-silico environment. This helps newbies to get a quick start in understanding and developing genetic design automation tools. The third part of this book is particular useful for biologists who usually find it difficult to grasp programming and are reluctant to developing computer software. They are introduced to the graphical programming language, LabVIEW, from which they can start developing computer programs rapidly. Readers are further provided with small projects which will help them to start developing GDA tools.